Senior Data Engineer (GCP)

TL;DR

Senior Data Engineer (GCP): Building scalable data platforms and API-driven integrations with an accent on healthcare data standards and cloud infrastructure. Focus on designing batch and streaming pipelines, optimizing BigQuery performance, and implementing FHIR/HL7 standards.

Location: Remote (Must be based in the US)

Salary: $125,000 - $150,000 a year

Company

hirify.global is a data-first company that leverages advanced technology platforms like Google Cloud and Salesforce to help clients derive impact through data and insights.

What you will do

• Design and build scalable batch and streaming data pipelines on GCP.
• Develop and manage API-driven integrations using REST, JSON, and event-based architectures.
• Implement healthcare data standards such as FHIR, HL7, and EDI.
• Build and optimize data solutions using BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
• Design data models aligned with business and domain requirements.
• Collaborate with stakeholders to independently own deliverables from design to deployment.

Requirements

• 4-6 years of experience in Data Engineering.
• Strong hands-on experience with GCP (BigQuery, Dataflow, Pub/Sub).
• Proficiency in Python and SQL.
• Experience building distributed systems and data pipelines.
• Experience with API development or integration.
• Must be authorized to work in the US (indicated by 401k and EEO compliance).

Nice to have

• Experience with Airflow, Cloud Composer, or dbt.
• Exposure to real-time streaming architectures.
• Multi-cloud experience (AWS/GCP).
• Prior experience in consulting or client-facing roles.

Culture & Benefits

• Comprehensive health insurance and 401(k) employer match.
• Paid leave (Vacation/PTO), holidays, sick leave, and parental leave.
• Employee referral bonuses.
• Commitment to continuous learning and solving complex technical problems.